Institutional Repository of Key Laboratory of Behavioral Science, CAS
Recognizing Hazard Perception in a Visual Blind Area Based on EEG Features | |
Guo, Zizheng1,2,3; Pan, Yufan1,4; Zhao, Guozhen5; Zhang, Jun1,2; Dong, Ni1,2,6 | |
第一作者 | Guo, Zizheng |
通讯作者邮箱 | guozizheng@swjtu.edu.cn |
心理所单位排序 | 5 |
摘要 | Many potential hazards are encountered during daily driving in mixed traffic situations, and the anticipatory activity of a driver to a hazard is one of the key factors in many crashes. In a previous study using eye-tracking data, it was reliably recognized whether the eyes of a driver had become fixated or pursued hazard cues. A limitation of using eye-tracking data is that it cannot be identified whether the anticipatory activity of a driver to hazards has been activated. This study aimed to propose a method to recognize whether the psychological anticipation of a driver had been activated by a hazard cue using electroencephalogram (EEG) signals as input. Thirty-six drivers participated in a simulated driving task designed according to a standard psychological anticipatory study paradigm. Power spectral density (PSD) features were extracted from raw EEG data, and feature dimensions were reduced by principal component analysis (PCA). The results showed that when a driver detected a hazard cue, the alpha band immediately decreased, and the beta band increased approximately 300 ms after the cue appeared. Based on performance evaluation of the support vector machine (SVM), k-nearest neighbor (KNN) method, and linear discriminant analysis (LDA), SVM could detect the anticipatory activity of the driver to a potential hazard in a timely manner with an accuracy of 81 & x0025;. The findings demonstrated that the hazard anticipatory activity of a driver could be recognized with EEG data as input. |
关键词 | Hazards Electroencephalography Vehicles Task analysis Psychology Standards Support vector machines Hazard perception EEG anticipatory activity SVM |
2020 | |
语种 | 英语 |
DOI | 10.1109/ACCESS.2020.2978436 |
发表期刊 | IEEE ACCESS |
ISSN | 2169-3536 |
卷号 | 8页码:48917-48928 |
收录类别 | SCI |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS关键词 | CONTINGENT NEGATIVE-VARIATION ; OSCILLATIONS |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000524728000005 |
WOS分区 | Q1 |
Q分类 | Q1 |
资助机构 | National Natural Science Foundation of China ; Science and Technology Program of Sichuan Province ; Science and Technology Program of China Railway |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/31311 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Guo, Zizheng |
作者单位 | 1.Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 611756, Peoples R China 2.Southwest Jiaotong Univ, Natl United Engn Lab Integrated & Intelligent Tra, Chengdu 611756, Peoples R China 3.Natl Engn Lab Intelligent Transportat Big Data Ap, Chengdu 611756, Peoples R China 4.Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Peoples R China 5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China 6.Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA |
推荐引用方式 GB/T 7714 | Guo, Zizheng,Pan, Yufan,Zhao, Guozhen,et al. Recognizing Hazard Perception in a Visual Blind Area Based on EEG Features[J]. IEEE ACCESS,2020,8:48917-48928. |
APA | Guo, Zizheng,Pan, Yufan,Zhao, Guozhen,Zhang, Jun,&Dong, Ni.(2020).Recognizing Hazard Perception in a Visual Blind Area Based on EEG Features.IEEE ACCESS,8,48917-48928. |
MLA | Guo, Zizheng,et al."Recognizing Hazard Perception in a Visual Blind Area Based on EEG Features".IEEE ACCESS 8(2020):48917-48928. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Recognizing hazard p(8984KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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